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Remote Data Visualization Engineer Jobs in Toronto, ON

Remote Full-time Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... You'll work at the intersection of data engineering, business intelligence, finance analytics ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... You'll work at the intersection of data engineering, business intelligence, finance analytics ...

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Real Estate Valuation Consultant

Toronto, ON · On-site +1

CA$50K - CA$80K/yr

... programming, data simulation, analytics, and advanced formula usage (such as Macros, Power Query ... Improve client deliverables through data visualization. Includes presenting sets of primarily ...

New

... visualization skills for exploring -omics datasets * Experience with biological databases, data ... Enjoy a flexible, remote-friendly team culture along with a competitive salary, benefits, and ...

... data modeling and programming activities to produce actionable insights through interactive dashboards and reports. Is this role right for you? In this role you will: * Data Visualization : Design ...

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Remote Data Visualization Engineer information

What is the difference between Remote Data Visualization Engineer vs Data Analyst?

AspectRemote Data Visualization EngineerData Analyst
Required SkillsData visualization tools, programming (Python, SQL), data storytellingData manipulation, statistical analysis, reporting
Work EnvironmentCollaborates with data teams, software developers, and designers remotelyWorks with business teams, often in office or remote settings
Industry UsageTech, finance, marketing, and product companiesBusiness, healthcare, finance, and research sectors

The Remote Data Visualization Engineer focuses on creating visual representations of data using specialized tools and programming, often working closely with development teams. Data Analysts primarily interpret data, perform statistical analysis, and generate reports. While both roles require data skills, visualization engineers emphasize technical visualization expertise, whereas analysts focus on data interpretation and insights.

What are popular job titles related to Remote Data Visualization Engineer jobs in Toronto, ON? For Remote Data Visualization Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Data Visualization Engineer jobs in Toronto, ON are:
Senior Data Engineer

Senior Data Engineer

Fusemachines

Toronto, ON • Remote

Contractor

Posted 5 days ago


Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Remote Full-time

Senior Data Engineer

Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake?


We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence.
Qualification & Skill Set Requirements
Core Technical Competencies
Experience: 5+ years of hands-on data engineering experience in a production environment.
Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.
Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures.
ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer).
Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub).
Cloud Platform Expertise (Specialization-Specific)
Candidates should demonstrate deep expertise in anyone of the following:
Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization.
Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization.
GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions.
Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics.
AWS: Redshift, S3, Lake Formation, Glue, and Lambda.
Professional Practices
SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation).
Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks.
Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards.
Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers.
Responsibilities
Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs.
Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency.
Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing.
Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions.
Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks.
Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices.
Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows.
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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